Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration
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Development of new sensors and digital processors has provided opportunity for identification of nonlinear systems. Vibration measurements have become standard for predicting and monitoring machinery in industry. Parameter Identification and Monitoring of Mechanical Systems under Nonlinear Vibration focusses on methods for the identification of nonlinearities in mechanical systems, giving description and examples of practical application. Chapters cover nonlinear dynamics; nonlinear vibrations; signal processing; parameter identification; application of signal processing to mechanical systems; practical experience and industrial applications; and synchronization of nonlinear systems.
Key Features
- Covers the most recent advances in machinery monitoring
- Describes the basis for nonlinear dynamics
- Presents advantages of applying modern signal processing to mechanical systems
Readership
Aerospace and Automobile Engineering graduate students, Researchers and Professors
Table of Contents
- Dedication
- List of figures
- About the author
- Introduction
- Abstract
- Dynamics
- 1: Linear vibrations
- Abstract
- 1.1 Introduction
- 1.2 Single degree of freedom
- 1.3 Multiple degrees of freedom
- 2: Nonlinear vibrations
- Abstract
- 2.1 Introduction
- 2.2 Jump phenomena
- 2.3 Self-excited vibrations
- 3: Signal processing
- Abstract
- 3.1 Introduction
- 3.2 Convolution theorem
- 3.3 Fourier Transform
- 3.4 Short Time Fourier Transform (STFT)
- 3.5 Wavelet Transform
- 3.6 Discrete Wavelet Transform
- 3.7 Phase diagram
- 3.8 Approximate entropy
- 4: Parameter identification
- Abstract
- 4.1 Introduction
- 4.2 Time domain analysis
- 4.3 Frequency domain analysis
- 5: Application of signal processing to mechanical systems
- Abstract
- 5.1 Introduction
- 5.2 Roller bearings
- 5.3 Gears
- 5.4 Friction
- 6: Practical experience and industrial applications
- Abstract
- 6.1 Introduction
- 6.2 Test procedure
- 6.3 Simulation analysis
- 7: Synchronization of nonlinear systems
- Abstract
- 7.1 Introduction
- 7.2 Synchronization
- 7.3 Kuramoto’s model
- 7.4 Synchronization of nonlinear pendulums
- Bibliography
- Index
Product details
- No. of pages: 220
- Language: English
- Copyright: © Woodhead Publishing 2014
- Published: July 7, 2014
- Imprint: Woodhead Publishing
- eBook ISBN: 9781782421665
About the Author
J C Jauregui
Juan Carlos Jauregui is a Professor at the Universidad Autonoma de Queretaro, in Mexico, where he researches the design and dynamics of machinery. He obtained his PhD at the University of Wisconsin-Milwaukee. He has been responsible for the design of a large number of automatic, tailor-made industrial machines, and the development of monitoring systems based on vibration analysis. He is a member of ASME (the American Society of Mechanical Engineers), the Mexican Society of Mechanical Engineering, the Academy of Engineering (Mexico), IFToMM, and the National Research System, the most prestigious research evaluation program in Mexico. He has published over 70 papers in international journals, several chapters, and three books, including Parameter Identification and Monitoring of Mechanical Systems Under Nonlinear Vibration, also published by Elsevier (in 2014). Along with Alejandro Lozano-Guzman, he pioneered the introduction to Mexico of monitoring systems based on vibration analysis.
Affiliations and Expertise
CIATEQ Advanced Technology Center, Mexico
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